Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add matteotitta/genesys-skills --skill discovergit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/matteotitta/genesys-skills/discover)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/discover"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/discover/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/discover"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/discover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00100 | $0.01302 |
| Opus 5 | $0.00050 | $0.00651 |
| Sonnet 5 | $0.00020 | $0.00260 |
| Haiku 4.5 | $0.00010 | $0.00130 |
Grade A, and why
discover scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/discover — Weekly Skill & Automation Discovery
Proactively identifies repeatable work patterns across your tools and recommends what to automate.
For full process (subcommands, 6 phases, scoring, persistence) → the premium reference.
Claude Code Triggers
Invoke this skill when user says:
- "/discover"
- "What should I automate?"
- "Find repeatable patterns"
- "What skills should I build?"
- "Discovery scan"
- "What am I doing repeatedly?"
Do NOT invoke when:
- User wants to run a specific skill (run that skill directly)
- User wants to create a specific skill (use
/skill-creator) - User wants to audit workspace health (use
/audit)
Subcommands quick reference
| Command | Action | Detail |
|---|---|---|
/discover |
Run full discovery scan (default) | 6-phase scan |
/discover status |
Pattern DB stats + top 5 BUILD candidates | SQL summary |
/discover dismiss <name> |
Mark pattern dismissed | Excluded from future reports |
/discover built <name> <path> |
Mark pattern as built | Links to artifact |
/discover history |
Pattern evolution over time | Top 20 by recency |
Parse $ARGUMENTS to determine subcommand. Default (no args) = full scan.
For full SQL queries per subcommand → the premium reference.
Core decisions
Scoring framework (8 dimensions, 0 or 1 each)
| # | Dimension | Question |
|---|---|---|
| 1 | frequency | Will this run 5+ times per month? |
| 2 | time_savings | Saves 30+ minutes vs. doing it manually? |
| 3 | quality | Automation produces better/more consistent output? |
| 4 | context_dep | Inherits context from other skills? |
| 5 | distinct | Fills a gap no existing skill covers? |
| 6 | reuse | Works for multiple clients with minimal adaptation? |
| 7 | measurable | Clear criteria for good vs. bad output? |
| 8 | recurrence | Pattern appeared in 3+ separate weekly scans? |
Verdicts
- Score 6-8 = BUILD — create the automation
- Score 4-5 = DEFER — watch for another week
- Score 0-3 = KILL — not worth automating
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 155 lines · 100 tokens per session scan A 621ce2bd28e6
discover is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 1,302 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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